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) Developing machine-learning based exoskeleton controllers to work across tasks 2) Designing and validating new robotic lower-limb prostheses 3) Exploring other high-risk high-reward research areas related
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agriculture (CEA) by applying artificial intelligence, computer vision, and mechatronics for hyperspectral plant monitoring. The Research Associate will contribute to developing AI-enabled systems for plant
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approaches to computer vision, in a disease animal model. In order to compare the connectome across different experimental conditions, developmental stages, and strains or species, we must first measure the
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Posting Details Posting Summary Working Title Military Services Coordinator/Veritas Liason Role Title Education Support Spec III Role Code 29144-SW FLSA Exempt Pay Band 04 Position Number 28300438
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: Position Type: Tenured/Tenure-track faculty Position Location: Istanbul, Istanbul 34342, Turkiye [map ] Subject Areas: Computer Science / Learning at Scale Machine Learning Vision Science Information
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behavioural experimental design and statistical modelling; computer vision and AI techniques; explainable AI and human–machine comparison methods; and responsible innovation. The student will work closely with
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level in a field relevant to the doctoral subject. The applicant must also be able to demonstrate documented proficiency in English. You have knowledge and expertise in computer vision and/or medical
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administrative, computer, and customer service skills in the performance of a variety of duties to maintain accounting records and reports. Primary Duties and Responsibilities: Essential Performance Requirements
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University System of Georgia leadership institution and is The Military College of Georgia. More details on the UNG Mission, Values, Vision, and Culture can be found at https://ung.edu/about/mission-vision
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computing, control theory, computer vision, or numerical simulations. Experience with Python-based scientific programming Excellent problem-solving skills, Ability to work collaboratively in a